Mcp2tcp
Connect TCP devices to Large Language Models via the Model Context Protocol (MCP), enabling natural language control of hardware.
About
Mcp2tcp bridges the gap between the physical world and AI Large Language Models by enabling TCP devices to connect via the Model Context Protocol (MCP). It allows users to control hardware devices with natural language, receive real-time AI responses that adjust physical parameters, and equip devices with the ability to understand and execute complex instructions. By integrating MCP, mcp2tcp supports resource management, tool calling, and a flexible prompting system, making it compatible with various MCP clients like Claude Desktop and Continue, and AI models including OpenAI's GPT series, Anthropic Claude, and local models through LM Studio and Ollama.
Key Features
- Full support for the Model Context Protocol (MCP)
- Supports multiple baud rates
- Flexible prompting system for customized interactions
- 2 GitHub stars
- Intelligent TCP communication with auto-detection and configuration
- Real-time status monitoring and error handling
Use Cases
- Automate physical parameter adjustments based on AI feedback
- Integrate legacy TCP devices with modern AI ecosystems
- Control hardware devices using natural language commands